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A review of non-rigid transformations and learning-based 3D point cloud registration methods
Point cloud registration is a research field where the spatial relationship between two or
more sets of points in space is determined. Point clouds are found in multiple applications …
more sets of points in space is determined. Point clouds are found in multiple applications …
Critical phenomena in complex networks
The combination of the compactness of networks, featuring small diameters, and their
complex architectures results in a variety of critical effects dramatically different from those in …
complex architectures results in a variety of critical effects dramatically different from those in …
Bayesian predictive beamforming for vehicular networks: A low-overhead joint radar-communication approach
The development of dual-functional radar-communication (DFRC) systems, where vehicle
localization and tracking can be combined with vehicular communication, will lead to more …
localization and tracking can be combined with vehicular communication, will lead to more …
New frontiers in spectral-spatial hyperspectral image classification: The latest advances based on mathematical morphology, Markov random fields, segmentation …
In recent years, airborne and spaceborne hyperspectral imaging systems have advanced in
terms of spectral and spatial resolution, which makes the data sets they produce a valuable …
terms of spectral and spatial resolution, which makes the data sets they produce a valuable …
A simple variational Bayes detector for orthogonal time frequency space (OTFS) modulation
The emerging orthogonal time frequency space (OTFS) modulation technique has shown its
superiority to the current orthogonal frequency division multiplexing (OFDM) scheme, in …
superiority to the current orthogonal frequency division multiplexing (OFDM) scheme, in …
[КНИГА][B] Probabilistic graphical models: principles and techniques
D Koller, N Friedman - 2009 - books.google.com
A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …
would enable a computer to use available information for making decisions. Most tasks …
Graphical models, exponential families, and variational inference
The formalism of probabilistic graphical models provides a unifying framework for capturing
complex dependencies among random variables, and building large-scale multivariate …
complex dependencies among random variables, and building large-scale multivariate …
A fuzzy probability Bayesian network approach for dynamic cybersecurity risk assessment in industrial control systems
With the increasing deployment of data network technologies in industrial control systems
(ICSs), cybersecurity becomes a challenging problem in ICSs. Dynamic cybersecurity risk …
(ICSs), cybersecurity becomes a challenging problem in ICSs. Dynamic cybersecurity risk …
Stereo matching with color-weighted correlation, hierarchical belief propagation, and occlusion handling
In this paper, we formulate a stereo matching algorithm with careful handling of disparity,
discontinuity and occlusion. The algorithm works with a global matching stereo model based …
discontinuity and occlusion. The algorithm works with a global matching stereo model based …
Bayesian compressive sensing via belief propagation
Compressive sensing (CS) is an emerging field based on the revelation that a small
collection of linear projections of a sparse signal contains enough information for stable, sub …
collection of linear projections of a sparse signal contains enough information for stable, sub …